• Freelance software testers based in Pennsylvania are needed to test a popular wagering app. • Perform smoke testing on iOS mobile, Android Mobile, and Web. • Provide concise notes and evidence (screenshots/screen recordings if requested during the run). • Launch the product on your available platform(s). • Create a consumer account on a wagering platform, complying with US regulations. • Run through key wagering flows and capture/report any functional issues.

• Design, implement, and maintain automated UI and end-to-end test suites using Playwright / TypeScript, covering critical user workflows across React and Angular front-end applications • Write automated API tests against C# / ASP.NET Core REST endpoints using TypeScript HTTP client libraries or C# / xUnit / NUnit test projects; validating request contracts, response schemas, business logic, and error handling • Build and maintain integration tests that validate service-to-service interactions and data flows across the application stack, including SQL Server / Azure SQL data validation • Contribute to test data strategy for the squad’s automated suites: design repeatable, isolated data setup and teardown that enables reliable parallel test execution • Use AI-assisted tools (GitHub Copilot, Claude) with structured prompts to accelerate test scaffolding and test generation across API, UI, and integration layers • Critically evaluate all AI-generated tests before committing — review for coverage completeness, assertion quality, and absence of false confidence • Work within Libra’s agentic engineering model: AI agents accelerate code generation at scale; QEs own the quality judgment that determines what ships • Contribute to Azure DevOps CI/CD pipelines, ensuring automated suites run as mandatory quality gates on every build with actionable pass/fail signal • Identify, document, and track bugs/defects in Jira with clear reproduction steps and test evidence; partner with engineers to drive timely resolution • Participate in sprint ceremonies and contribute to test planning, risk assessment, and acceptance criteria definition alongside the Technical Product Owner • Partner with offshore QE engineers on the squad to scope test cases clearly, provide review feedback, and maintain shared quality standards

• AppIQ Technologies is seeking a meticulous and strategic **QA Engineer / Sr. QA Engineer** to ensure the quality and reliability of our Machine-Learning-driven e-commerce funnel optimisation and digital advertising platform. • You will be responsible for defining the testing strategy for high-performance applications that leverage our proprietary Predictive AI solutions. • As a key member of our fast-paced startup, you will balance the need for rapid feature deployment with the necessity of thorough testing. • You will be responsible for identifying and prioritising the highest-risk bugs to ensure our scalable services, which manage millions of daily events, remain robust and accurate. • **QA Architecture & Strategy**: Develop and maintain a comprehensive QA architecture that supports full-stack applications and complex microservices. • **Risk Management**: Prioritise bug fixes based on risk of failure and potential impact, while striking a productive balance between speed-to-market and exhaustive testing. • **Test Management**: Utilise test case management (TCM) systems such as TestRail, Zephyr, Xray, PractiTest, qTest, or similar (your choice) to organise test cases, track execution, and provide transparent reporting on quality metrics. • **Automated Testing**: Design, implement, and scale automated test suites using tools such as **Playwright, Cypress, and Appium **or similar tools. • **Testing & Validation: **Design and execute rigorous integration, API, and End-to-End tests on applications built with TypeScript, React, Node.js, Python, and PySpark. • Collaborate with developers to ensure adequate **unit test **coverage. • **Infrastructure Testing**: Verify the reliability of deployments across **AWS** (EC2, S3, Firehose) and **Cloudflare** edge environments. • **Data Integrity**: Collaborate with Data Engineers to validate the accuracy of complex event data and real-time reporting dashboards. • **Cross-Functional Collaboration**: Act as a **great team player** with **excellent communication skills**, working closely with developers and data scientists to ensure a seamless end-user experience.

Role Description The Quality Engineer, AI-Native is a core contributor on the quality engineering team, responsible for designing and owning automated test coverage across API, UI, and integration layers within Libra Solutions’ AI-native delivery model. This role requires hands-on automation expertise and the ability to operate effectively as the quality safeguard in an agentic engineering environment. - Design, implement, and maintain automated UI and end-to-end test suites using Playwright / TypeScript, covering critical user workflows across React and Angular front-end applications. - Write automated API tests against C# / ASP.NET Core REST endpoints using TypeScript HTTP client libraries or C# / xUnit / NUnit test projects; validating request contracts, response schemas, business logic, and error handling. - Build and maintain integration tests that validate service-to-service interactions and data flows across the application stack, including SQL Server / Azure SQL data validation. - Contribute to test data strategy for the squad’s automated suites: design repeatable, isolated data setup and teardown that enables reliable parallel test execution. - Use AI-assisted tools (GitHub Copilot, Claude) with structured prompts to accelerate test scaffolding and test generation across API, UI, and integration layers. - Critically evaluate all AI-generated tests before committing — review for coverage completeness, assertion quality, and absence of false confidence. - Work within Libra’s agentic engineering model: AI agents accelerate code generation at scale; QEs own the quality judgment that determines what ships. - Contribute to Azure DevOps CI/CD pipelines, ensuring automated suites run as mandatory quality gates on every build with actionable pass/fail signal. - Identify, document, and track bugs/defects in Jira with clear reproduction steps and test evidence; partner with engineers to drive timely resolution. - Participate in sprint ceremonies and contribute to test planning, risk assessment, and acceptance criteria definition alongside the Technical Product Owner. - Partner with offshore QE engineers on the squad to scope test cases clearly, provide review feedback, and maintain shared quality standards. Qualifications - Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent professional experience. - 2+ years of hands-on test automation experience writing code-based test suites. - Proficiency in Playwright and TypeScript for UI and end-to-end test automation. - Experience writing automated API tests in code (TypeScript HTTP clients, C# / xUnit / NUnit, or equivalent), not just exploratory API testing with Postman. - Working knowledge of C# / .NET applications as the system under test; ability to read C# code to understand expected behavior. - Familiarity with SQL Server or Azure SQL for data validation within automated tests. - Experience integrating automated tests into Azure DevOps CI/CD pipelines as quality gates. - Hands-on experience with AI tools (GitHub Copilot, Claude, ChatGPT) for test scaffolding, test data generation, and defect analysis. - Understanding of the QE role in an agentic delivery model: able to adapt test strategy and coverage to environments where AI agents contribute significantly to code generation. - Creative problem-solving and troubleshooting skills. - Self-motivated, ownership-oriented, and technically precise; treats test reliability as a first-class concern. - Must be authorized to work in the U.S. Benefits - Competitive compensation. - Medical, dental, vision, and life insurance plans. - 401k match. - Paid time off.